Harnessing the Power of Land Mapping Data for Effective Land Policy Development

A special issue of Land (ISSN 2073-445X). This special issue belongs to the section "Land Innovations – Data and Machine Learning".

Deadline for manuscript submissions: 31 July 2025 | Viewed by 612

Special Issue Editors


E-Mail Website
Guest Editor
Department of Environmental Sciences, Emory University, Atlanta, GA 30322, USA
Interests: urban informatics; GeoAI; GIScience; spatial analysis; urban design
Special Issues, Collections and Topics in MDPI journals

E-Mail Website
Guest Editor
School of Design and the Built Environment, Curtin University, Perth 6102, Australia
Interests: spatial statistics; spatial data science; GIS; spatial planning

E-Mail Website
Guest Editor
Jet Propulsion Laboratory, California Institute of Technology, Pasadena, CA 91109, USA
Interests: urban environment; urban sustainability; urban climate; remote sensing; GIS; machine learning
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

Land mapping datasets have become one of the most critical sources of spatial information supporting land use policy and decision-making for achieving sustainable goals both socioeconomically and environmentally. Practical applications of land mapping data include environmental monitoring, urbanization assessment, spatial dynamics evaluation, and so on. Advances in remote sensing, crowdsourcing and citizen science, spatial statistics, and GIS greatly enhance the planning insights and diverse functionalities of land mapping.

The goal of this Special Issue is to collect papers (original research articles and review papers) to give insights on the advances and applications of land mapping techniques and associated data analysis and management works in assisting the achievement of sustainable development targets and other socioeconomic or environmental goals. Research works on land use policy and management based on land mapping datasets are also welcome to be submitted to this Special Issue.

This Special Issue will welcome manuscripts that link the following themes:

  • Advances in land mapping and remote sensing techniques;
  • Research and reviews on land policy or land use management using land mapping data;
  • Research applications of land mapping to achieve sustainable development goals;
  • Geospatial data analysis and management on land mapping data;
  • Other works that are highly associated with land mapping and land use policy.

We look forward to receiving your original research articles and reviews.

Dr. Xiao Huang
Dr. Zehua Zhang
Dr. Cheolhee Yoo
Guest Editors

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Land is an international peer-reviewed open access monthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2600 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

Keywords

  • land mapping
  • land use policy and management
  • land use and land cover (LULC) monitoring
  • remote sensing
  • spatial data
  • sustainable development
  • environmental monitoring

Benefits of Publishing in a Special Issue

  • Ease of navigation: Grouping papers by topic helps scholars navigate broad scope journals more efficiently.
  • Greater discoverability: Special Issues support the reach and impact of scientific research. Articles in Special Issues are more discoverable and cited more frequently.
  • Expansion of research network: Special Issues facilitate connections among authors, fostering scientific collaborations.
  • External promotion: Articles in Special Issues are often promoted through the journal's social media, increasing their visibility.
  • e-Book format: Special Issues with more than 10 articles can be published as dedicated e-books, ensuring wide and rapid dissemination.

Further information on MDPI's Special Issue policies can be found here.

Published Papers (1 paper)

Order results
Result details
Select all
Export citation of selected articles as:

Research

21 pages, 6115 KiB  
Article
Spatiotemporal Landslide Monitoring in Complex Environments Using Radiative Transfer Model and SBAS-InSAR Technology
by Bing Wang, Li He, Zhengwei He, Yongze Song, Rui Qu, Jiao Hu, Zhifei Wang and Zehua Zhang
Land 2025, 14(5), 956; https://doi.org/10.3390/land14050956 - 28 Apr 2025
Viewed by 200
Abstract
Landslides are among the most frequent geological hazards, often resulting in casualties and economic losses, particularly in alpine valley areas characterized by complex topography and dense vegetation. Landslides in these regions are distinguished by their high altitude, concealment, and sudden onset, which render [...] Read more.
Landslides are among the most frequent geological hazards, often resulting in casualties and economic losses, particularly in alpine valley areas characterized by complex topography and dense vegetation. Landslides in these regions are distinguished by their high altitude, concealment, and sudden onset, which render traditional monitoring methods inefficient. This study proposes a landslide monitoring method for complex environments that leverages multi-source remote sensing data, incorporating the radiative transfer model and Small Baseline Subset-Interferometric Synthetic Aperture Radar (SBAS-InSAR) technology. The proposed method was implemented to monitor the instability of the Baige landslide in Tibet, China. The results show that the vegetation Canopy Water Content (CWC) estimated using the radiative transfer model indirectly reflects landslide susceptibility. Specifically, excessive soil moisture from rainfall reduces oxygen in plant roots, affecting growth and lowering canopy water content. The region with lower Canopy Water Content (CWC < 0.04) exhibited an increasing trend in the number of pixels, rising from 271 to 549 before the landslide event, indicating poorer vegetation conditions in the area. Additionally, the SBAS-InSAR technique was utilized to extract surface displacement, achieving a maximum displacement of 112 mm during the monitoring period. Ultimately, the spatial changes of the two monitoring signals exhibited a high consistency. This study enhances the reliability of landslide displacement monitoring in complex environments and provides substantial scientific support for future large-scale monitoring efforts. Full article
Show Figures

Figure 1

Back to TopTop